Population and Sample Variance

Install and import#

bash

npm install fintech-algorithms

import { populationAndSampleVariance } from "fintech-algorithms/financial-mathematics-statistics-and-data-foundations/dispersion-shape-and-robust-statistics/population-and-sample-variance";

Signature#

populationAndSampleVariance(input)

Worked example#

verified This is the worked example published in the article, replayed by the test suite on every run. The output cannot drift.

Input#

input

{
  "values": [1, 2, 2, 4, 9]
}

Call#

populationAndSampleVariance(input)

Returns#

object with 2 fields: populationVariance, sampleVariance

{
  "populationVariance": 8.24,
  "sampleVariance": 10.3
}

Diagrams#

How it works#

This page states the contract — how to call it correctly. The article explains the concept: why it works, and where it breaks.

Read the article →

References#

Measures of Scale — NIST/SEMATECH e-Handbook
Skewness and Kurtosis — NIST/SEMATECH e-Handbook
Historical-example decision